Keeping up with the joneses

ABSTRACT

Consumers often desire to compare themselves to other individuals. Disclosed herein are systems and methods of generating and displaying comparison information to users so that they can determine if they are “keeping up with the Joneses.”

INCORPORATION BY REFERENCE TO ANY PRIORITY APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 14/271,741, filed May 7, 2014. Any and all applications for which a foreign or domestic priority claim is identified in the Application Data Sheet as filed with the present application are hereby incorporated by reference under 37 CFR 1.57.

BACKGROUND

Consumers often want to compare themselves with others.

SUMMARY

In one embodiment, a computing system for providing user comparison information to a user comprises one or more computer processors configured to execute software instructions and a non-transitory computer readable storage device configured to store software instructions executable by the one or more computer processors. In one embodiment, the software instructions are configured to cause the computing system to access demographic data regarding a user of a computing device, the demographic data including demographic attributes in three or more of the following categories: marital status, friends, profession, children, automobile, income level, residence, education level; receive, from the user, an indication of a comparison individual; access comparison demographic data regarding the comparison individual, the comparison demographic data including comparison demographic attributes in three or more of the following categories: marital status, friends, profession, children, automobile, income level, residence, education level; and access a data structure storing information regarding most favorable levels of respective demographic attributes, wherein for a first category of demographic attributes the data structure indicates that a higher number is more favorable and for a second category of demographic attributes the data structure indicates that a lower number is more favorable. In one embodiment, the software instructions are further configured to, for each of the categories, compare a value of the demographic attribute of the user with a value of the comparison demographic attribute of the comparison individual, based on the information stored in the data structure regarding most favorable levels of demographic attributes associated with the category, determine which of either the user or the comparison individual has a most favorable demographic attribute for the category, and generate a user interface listing each of the categories, demographic attributes for the user in each of the categories, demographic attributes for the comparison individual in each of the categories, and, for each of the categories, a visual indication of which of the user or the comparison individual has a demographic attribute that is most favorable.

In another embodiment, a computing system for providing user comparison information to a user comprises one or more computer processors configured to execute software instructions and a non-transitory computer readable storage device configured to store software instructions executable by the one or more computer processors. In one embodiment, the software instructions are configured to cause the computing system to access demographic data regarding a user of a computing device, the demographic data including demographic attributes in three or more of the following categories: marital status, friends, profession, children, automobile, income level, residence, education level, determine a group of comparison individuals each having one or more demographic attributes in common with the user, access comparison demographic data regarding the group of comparison individuals, the comparison demographic data including comparison demographic attributes in three or more of the following categories: marital status, friends, profession, children, automobile, income level, residence, education level, and access a data structure storing rules for ranking levels of respective demographic attributes, wherein for a first category of demographic attributes the data structure indicates that rankings in the first category increase as values of demographic attributes increase, and for a second category of demographic attributes the data structure indicates two or more possible values of demographic attributes in the second category and an indication of relative rankings of the two or more possible values with reference to one another. In one embodiment, the software instructions are further configured to, for each of the categories, compare a value of the demographic attribute of the user with a value of the comparison demographic attribute of the group of comparison individuals; and based on the ranking information, determine which of either the user or the comparison group of individuals has a higher rank for the category. In one embodiment, the software instructions are further configured to generate a user interface listing each of the categories, demographic attributes for the user in each of the categories and demographic attributes for the group of comparison individuals in each of the categories, and, for each of the categories, a visual indication of which of the user or the group of comparison individuals has a demographic attributes that is highest rated.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an example user interface that may be part of a user comparison website.

FIG. 2 illustrates another example user interface that may be provided to a user as part of a user comparison website.

FIG. 3 illustrates another example user interface that may be provided to the user as part of a user comparison website.

FIG. 4 illustrates another example user interface that may be provided to a user as part of a user comparison website.

FIG. 5 illustrates another example user interface that includes a user rating graph comparing the user's overall rating with reference to individuals in various geographic groupings.

FIG. 6 illustrates a similar graph to that of FIG. 5 after a few more stages of drill down have been performed.

FIG. 7 illustrates an example user interface that allows the user to choose attributes that are included in user ratings calculated by the system, such as ratings calculated for the user as well as comparison individuals or groups of individuals.

FIGS. 8A, 8B, 8C, and 8D are example user interfaces that may be provided to a user to illustrate various other comparisons of user ratings.

FIGS. 9A and 9B illustrate further graphs for comparison of various user attributes.

FIG. 10 is a block diagram illustrating one embodiment of a scoring system that may be used to implement certain systems and methods discussed herein, such as generating user scores, gathering information from one or more data sources that are used in generating user scores, and/or generating various user interfaces (such as those discuss above) for use by users.

DETAILED DESCRIPTION

FIG. 1 illustrates an example user interface that may be part of a user comparison website. The various user interfaces discussed herein, and illustrated in the various figures, may be provided to a consumer via a web browser, a standalone application, or in any other manner. Similar user interfaces may be provided via mobile devices or other computing devices. Certain user interfaces are captioned “Keeping up with the Joneses.” In other embodiments, other captions may be used, such as a “user comparison website” or the like. In this example, as well as other examples herein, a “Jones rating” (synonymous with a “user rating”) is discussed, which in general provides some indication of an individual's (or some group of individuals) attributes as compared to one or more other individuals (or groups of individuals). However, this name is arbitrary and the systems and methods discussed herein are not limited to scores with these names.

In the example of FIG. 1, the user interface 100 includes several sections of information. In this particular example, the user interface 100 includes a section 110 that includes options for groups of individuals that a user may select in order to compare attributes of the user to users of any selected groups. For example, the section 110 includes options to select (for comparison) groups of individuals that work as teachers, live in California, own a home, are between 25-30 years old, drive a truck, live in a common ZIP Code as the current user, etc. As discussed further below, such comparisons may provide the user with various comparison points of the users financial, social, mental, or other characteristics as compared with these various groups of other individuals.

The user interface 100 also includes a section 120 labeled “Jones Rating Trends.” In section 120, general trends in Jones ratings are provided, which in general indicate groups of individuals that have had significant changes (e.g., increases or decreases) in one or more attributes. In the example of FIG. 1, the trends include an indication that software programmers in the Pacific Northwest had Jones ratings that increased an average of 34% over the previous month, while East Florida residents had Jones ratings that decreased an average of 20% in the last day. The underlying attributes of the individuals used in determining such trends may vary from one application to another. Many of these attributes are discussed below, but other attributes may be used in other embodiments. In one embodiment, the user interface allows the user to view detailed information regarding calculation of the trends, such as to view a breakdown of attributes of consumers that contributed to changes in Jones ratings.

The user interface also includes an average ratings section 130 that includes information regarding particular groups of individuals, such as those that may have been previously selected by the user or automatically selected by the user. In this example, the average ratings are provided for individuals in the user's hometown, the user's current town, the user's school (e.g., high school, college, or both), and individuals in the same career as the current user. In other embodiments, other average ratings for other groups may be provided. Similarly, groups that are included in the average ratings section may be automatically selected by the computing system.

FIG. 2 illustrates another example user interface that may be provided to a user as part of a user comparison website. In the example of FIG. 2, the user interface includes a side-to-side comparison of the current user's attributes (e.g., some subset of attributes of the user, such as those that may be manually selected by the user and/or automatically selected by the computing system) as compared to the same attributes of one or more neighbors (or other individuals), such as a handful of neighbors within a local area of the current user. In this example user interface 210, the current user has a score of 18, while the user's neighbors have an average score of 89. The discrepancy between the scores may be at least partially attributable to differences in the attributes listed in user interface 210. For example, the user interface indicates, with the checkmarks, that the user's average neighbor is better off than he is in most categories, including, car, profession, earnings, residence, marital status, education, and friends. The user interface indicates that the current user is only doing better than his neighbors in the quantity of children (although in other embodiments having more children may not be seen as an advantage, or possibly having more children over a predefined threshold, such as two, will start to decrease the perception of advantage used by the computing system in comparing with others).

The example of FIG. 2 further includes, in section 220, a summary of the findings with reference to the comparison of the user and the selected group (e.g., in this example the indication is that “You are not keeping up with your neighbors.”), as well as a link that provides the user with possible advice and offers that may help improve the user's rating. In the example of FIG. 2, because the user has a car attribute that is perceived as being not as advantageous as the neighbors average car attribute, the link in section 220 may provide car buying and/or financing options to the user. Similarly, with reference to the profession attribute, information regarding available jobs that are more highly sought after (and/or pay more, are from companies that are more highly reviewed by employees, etc.), may be provided by selecting the link in section 220. With reference to the other attributes, similar ideas and/or offers for improving the users rating may be provided. In one embodiment, such ideas and/or offers may be provided, and possibly preapproved, based on attributes of the user.

FIG. 3 illustrates another example user interface 310 that may be provided to the user as part of a user comparison website. In this example, the residence attribute for the current user is not known by the system. For example, the residence information has not been provided by the user and/or was not locatable from one or more publicly (or privately) available websites that provide such information and to which the provider of the user comparison website has access. Thus, in this embodiment a text entry field 312 is provided in place of the residence attribute, with an invitation for the user to provide current residence information. In some embodiments, the user may be motivated to provide residence information in the text entry field 312 in order to obtain a determination as to whether the user is doing better than his/her neighbors (or other groups in other embodiments) with reference to that attribute and/or a total rating. For example, if the user does have a better house then his average neighbors, the user may be motivated to provide that house information so that his overall score is improved based on the residence attribute being more favorable than his neighbors.

FIG. 4 illustrates another example user interface 410 that may be provided to a user as part of a user comparison website. The user interface 410 compares the user with a particular individual. The individual may be a neighbor, friend, an acquaintance, a business partner or adversary, a celebrity, sports star, etc. The individual may be selected by the user and/or automatically selected by the system. In the example of FIG. 4, scores (ratings) are provided for the user and for a comparison user, Eric Jones in this example. As shown, the user has a slightly lower score than Eric Jones, based on less favorable ratings with reference to car, income, residence, and education attributes. In one embodiment, differences in attribute values between the user and the comparison individual (or group of comparison individuals in other embodiments, such as those discussed above) may be considered in determining scores.

FIG. 5 illustrates another example user interface 510 that includes user rating graph 514 comparing the user's overall rating with reference to individuals in various geographic groupings. In the example of FIG. 5, a drop-down menu 512 allows the user to select a geographic region for comparison, such as regions surrounding a residence or work location of the user. Alternatively, the user can drill down from a broad geographic region that is initially presented (e.g., the world or a specific country or continent), to as narrow of a comparison as is wanted, such as to a ZIP-9 area or even an individual household or person. In the example of FIG. 5, the comparison graph 514 compares various attributes of the current user with other individuals within the state of California. As shown, the current user has higher scores in each of income, education, profession, friends, and residence attributes, but a lower score in the car attribute. The drop-down menu 512 may be used from this view to further drill down to a particular section of California, such as Northern California, Central California, or Southern California.

FIG. 6 illustrates a similar graph after a few more stages of drill down have been performed. In this particular example, the user has drilled down from California, to Southern California, to Orange County, and then to Irvine. Thus, the comparisons in the chart 614 can include comparison of the user's scores in each of the attributes with other individuals within the specific city of Irvine, Calif. In this comparison, the user attribute scores (ratings) are generally more comparable to the selected group of individuals (e.g., in Irvine, Calif.).

FIG. 7 illustrates an example user interface 710 that allows the user to choose attributes that are included in user ratings calculated by the system, such as ratings calculated for the user as well as comparison individuals or groups of individuals. In this example, the user can select attributes for inclusion in user ratings (or click a selected attributes checkbox in order to remove that attribute from inclusion in calculated user ratings). In other embodiments, other attributes are available. Similarly, other user interface controls and mechanisms may be used for a user to customize attributes that are included in user ratings.

FIGS. 8A, 8B, 8C, and 8D are example user interfaces that may be provided to a user to illustrate various other comparisons of user ratings. These examples are illustrated as displayed on a mobile device, but similar user interfaces may be displayed on other computing devices such as a tablet, desktop computer, etc. In the example of FIG. 8A, the user interface illustrates a line graph extending over a period of one year and comparing user scores of a current user and two other individuals. For example, the overall user scores (e.g., considering multiple attributes that are selected by the user) of the users are included in the graph. In one embodiment the user can adjust attributes that are used in calculating ratings and, based on such changes, the graphs of the users rating over the previous year, as well as the graphs of the comparison individual's ratings over the previous year, may change. FIG. 8B provides comparisons of user ratings of the individual with popular categories of other individuals. In this example, the user ratings of rock stars, football players, movie actresses, tennis players, movie actors, etc., may be displayed, as well as a differential of those groups of individuals as compared to the users current user score. In one embodiment, individual names are provided in the example of FIG. 8B, such as the names of a particular rockstar, football player, movie actress, etc., and the corresponding user scores are associated with those individuals. In this way, the user can easily visualize how the various attributes of the user compare with particular individuals that are commonly compared to. FIG. 8C illustrates the current users rating, as well as ratings average ratings of individuals in several categories. FIG. 8D includes the user's current score, as well as the user scores of certain friends of the user.

FIGS. 9A and 9B illustrate further graphs for comparison of various user attributes. In the example of FIG. 9A, the income attributes for individuals living in a particular geographic region (Irvine, Calif. in this example) over a one-year time period are illustrated. Other groups of individuals and other attributes may be selected for display in a similar graph. For example, in FIG. 9B, a particular attribute with reference to three individuals is shown on a one-year graph.

System Block Diagram

FIG. 10 is a block diagram illustrating one embodiment of a scoring system 1100 that may be used to implement certain systems and methods discussed herein, such as generating user scores, gathering information from one or more data sources that are used in generating user scores, and/or generating various user interfaces (such as those discuss above) for use by users. In particular, the scoring system 1100 may be used to gather data, analysis data, and generate the various user interfaces discussed above and/or illustrated in the figures. In some embodiments, the systems and methods discussed above may be performed by a combination of computing devices, such as the scoring system 1100 and the consumer device 1170. In some embodiments, the other computing devices discussed herein, such as the computing devices 1170, may include some or all of the same components as discussed below with reference to scoring system 1100. Furthermore, depending on the embodiment, certain modules may be performed by different and/or multiple computing devices.

In one embodiment, the scoring system 1100 is configured to interface with multiple devices and/or data sources. The scoring system 11100 may be configured to implement certain systems and methods described herein. The functionality provided for in the components and modules of the scoring system 1100 may be combined into fewer components and modules or further separated into additional components and modules. In the embodiment of FIG. 1, the scoring system 1100 may include modules that may be executed by CPU 1105 such as rating module 1150 and a user interface module 1165.

In some embodiments, the scoring system 1100 includes a rating module 1150, which performs various tasks of gathering data regarding consumers, such as from the demographic data source(s) 1115, and generating attribute and overall scores for the individuals (or groups of individuals). The scoring system 1100 may also include a user interface module 1165 configured to generate various user interfaces for presentation of data to the user of consumer device 1170, such as those user interfaces discussed above.

Client computing device 1170, which may comprise software and/or hardware that implements the user interface module 1165, may be an end user computing device that comprises one or more processors able to execute programmatic instructions. Examples of such a computing device 1170 are a desktop computer workstation, a smart phone such as an Apple iPhone or an Android phone, a computer laptop, a tablet PC such as an iPad, Kindle, or Android tablet, a video game console, or any other device of a similar nature. In some embodiments, the client computing device 1170 may comprise a touch screen that allows a user to communicate input to the device using their finger(s) or a stylus on a display screen. The computing device 1170 and/or scoring system 1100 may comprise storage systems such as a hard drive or memory, or comprise any other non-transitory data storage medium. The storage systems may be configured to store executable instructions that may be executed by one or more processors to perform computerized operations on the client computing device 1170, such as accept data input from a user (e.g., on the touch screen), and/or provide output to a user using the display. These executable instructions may be transmitted to another device for execution or processing by the device to implement the systems and methods described herein.

The various computing devices illustrated in FIG. 1 may be in direct communication with the scoring system 1100 or may be in communication with the scoring system 1100 via the network 1160, which may include any combination of networks, such as local area, wide area, Internet, etc., by way of a wired network, such as an ethernet LAN or cable modem, or via a wireless method, such as through an 802.11 access point or via a cell phone network. The network 1160 allows computing devices to send (i.e. transmit) and receive electronic transmissions.

Example Computing System Components

In general, the word module, as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, possibly having entry and exit points, written in a programming language such as, for example, C, C++, C#. Software modules may be compiled and linked into an executable program, installed in a dynamic link library, or may be written in an interpreted programming language such as, for example, BASIC, Java, Perl, or Python. It will be appreciated that software modules may be callable from other modules or from themselves or may be invoked in response to detected events and interrupts, or both. The modules included in the scoring system 1100 may be stored in the mass storage device 1120 as executable software codes that are executed by the CPU 1105. Modules in the scoring system 1100 may include, by way of example, components, such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. Software modules configured for execution on computing devices may be provided on a computer readable medium, such as a compact disc, digital video disc, flash drive, magnetic disc, or any other tangible medium, or as a digital download (and may be originally stored in a compressed or installable format that requires installation, decompression or decryption prior to execution). Such software code may be stored, partially or fully, on a memory device of the executing computing device, such as the computing device 1100, for execution by the computing device. Software instructions may be embedded in firmware, such as an EPROM. It will be further appreciated that hardware modules may be comprised of connected logic units, such as programmable gate arrays or processors. The modules described herein are preferably implemented as software modules, but may be represented in hardware or firmware. Generally, the modules described herein refer to logical modules that may be combined with other modules or devices into sub-modules despite their physical organization or storage. Other computing systems, such as, computing device 1170, may comprise similar computing hardware, software, and functionality as described in reference to scoring system 1100.

In one embodiment, the scoring system 1100 includes, for example, one or more servers or personal computers that are IBM, Macintosh, or Linux/Unix compatible. In another embodiment, the scoring system 1100 includes one or more laptop computers, smart phones, personal digital assistants, or other computing devices. The scoring system 1100 may include a memory 1130, which may include a random access memory (“RAM”) for temporary storage of information, a read only memory (“ROM”) for permanent storage of information, and/or a mass storage device, such as a hard drive, diskette, optical media storage device, or USB flash drive. The scoring system 1100 may also contain a separate mass storage device 1120 for permanent storage of information. Typically, the modules of the scoring system are in communication with each other via a standards based bus system. In different embodiments, the standards based bus system could be Peripheral Component Interconnect (PCI), Microchannel, SCSI, Industrial Standard Architecture (ISA), and Extended ISA (EISA) architectures, for example.

The scoring system 1100 may be generally controlled and coordinated by operating system software, such as Windows 95, 98, NT, 2000, XP, Vista, 7, 8, SunOS, Solaris, Blackberry OS, or other compatible operating systems. In Macintosh systems, the operating system may be any available operating system, such as MAC OS X. In other embodiments, the Scoring system 1100 may be controlled by a proprietary operating system. Conventional operating systems control and schedule computer processes for execution, perform memory management, provide file systems, networking, and I/O services, and provide a user interface, such as a graphical user interface (“GUI”), among other functions.

The example scoring system 1100 shown in FIG. 1 includes one or more commonly available input/output (I/O) interfaces and devices 1110, such as a keyboard, mouse, touchpad, and printer. In one embodiment, the I/O interfaces and devices 1110 include one or more display devices, such as a monitor, that allow the visual presentation of data to a user. More particularly, a display device provides for the presentation of GUIs, application software data, and multimedia presentations, for example. The scoring system 1100 may also include one or more multimedia devices 1140, such as speakers, video cards, graphics accelerators, and microphones, for example. In one embodiment, the I/O interfaces and devices 1110 comprise devices that are in communication with modules of the scoring system 1100 via a network, such as the network 1160, or any local area network, including secured local area networks, or any combination thereof. In some embodiments, multimedia devices and I/O interfaces and devices 1110 may be part of computing devices 1170, which scoring system 1100 may interact with through network 1160.

Some embodiments of a scoring system 1100 may contain fewer or additional elements and modules than are present in the embodiment in FIG. 10.

Additional Embodiments

Each of the processes, methods, and algorithms described in the preceding sections may be embodied in, and fully or partially automated by, code modules executed by one or more computer systems or computer processors comprising computer hardware. The code modules may be stored on any type of non-transitory computer-readable medium or computer storage device, such as hard drives, solid state memory, optical disc, and/or the like. The systems and modules may also be transmitted as generated data signals (for example, as part of a carrier wave or other analog or digital propagated signal) on a variety of computer-readable transmission mediums, including wireless-based and wired/cable-based mediums, and may take a variety of forms (for example, as part of a single or multiplexed analog signal, or as multiple discrete digital packets or frames). The processes and algorithms may be implemented partially or wholly in application-specific circuitry. The results of the disclosed processes and process steps may be stored, persistently or otherwise, in any type of non-transitory computer storage such as, for example, volatile or non-volatile storage.

The various features and processes described above may be used independently of one another, or may be combined in various ways. All possible combinations and sub-combinations are intended to fall within the scope of this disclosure. In addition, certain method or process blocks may be omitted in some implementations. The methods and processes described herein are also not limited to any particular sequence, and the blocks or states relating thereto can be performed in other sequences that are appropriate. For example, described blocks or states may be performed in an order other than that specifically disclosed, or multiple blocks or states may be combined in a single block or state. The example blocks or states may be performed in serial, in parallel, or in some other manner. Blocks or states may be added to or removed from the disclosed example embodiments. The example systems and components described herein may be configured differently than described. For example, elements may be added to, removed from, or rearranged compared to the disclosed example embodiments.

Conditional language, such as, among others, “can,” “could,” “might,” or “may,” unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain embodiments include, while other embodiments do not include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without user input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular embodiment.

Any process descriptions, elements, or blocks in the flow diagrams described herein and/or depicted in the attached figures should be understood as potentially representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process. Alternate implementations are included within the scope of the embodiments described herein in which elements or functions may be deleted, executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those skilled in the art.

All of the methods and processes described above may be embodied in, and partially or fully automated via, software code modules executed by one or more general purpose computers. For example, the methods described herein may be performed by the computing system and/or any other suitable computing device. The methods may be executed on the computing devices in response to execution of software instructions or other executable code read from a tangible computer readable medium. A tangible computer readable medium is a data storage device that can store data that is readable by a computer system. Examples of computer readable mediums include read-only memory, random-access memory, other volatile or non-volatile memory devices, CD-ROMs, magnetic tape, flash drives, and optical data storage devices.

It should be emphasized that many variations and modifications may be made to the above-described embodiments, the elements of which are to be understood as being among other acceptable examples. All such modifications and variations are intended to be included herein within the scope of this disclosure. The foregoing description details certain embodiments. It will be appreciated, however, that no matter how detailed the foregoing appears in text, the systems and methods can be practiced in many ways. As is also stated above, it should be noted that the use of particular terminology when describing certain features or aspects of the systems and methods should not be taken to imply that the terminology is being re-defined herein to be restricted to including any specific characteristics of the features or aspects of the systems and methods with which that terminology is associated. 

What is claimed is:
 1. A server computing system for providing user comparison information to a user, the server computing system comprising: a demographic database storing demographic attributes associated with a plurality of users; a non-transitory computer readable storage device configured to store software instructions; a computer processor configured to execute the software instructions to: serve a website or mobile application content including user interface content renderable on a user computing device, wherein the user interface content comprises dynamic user interface controls for receiving identification information of the user, presenting identification information of a comparison individual, and presenting a first category of demographic attributes and a second category of demographic attributes, wherein the first category of demographic attributes comprises first demographic attributes and the second category of demographic attributes comprises second demographic attributes; communicate the website or mobile application content to the user computing device, wherein the user computing device renders the website or mobile application content to display the user interface content; receive the identification information of the user, wherein the identification information is inputted via the dynamic user interface controls on the user computing device; access first demographic data of the user from the demographic database based on the identification information, the first demographic data comprising data associated with the user in the first category of demographic attributes and associated with the user in the second category of demographic attributes; access second demographic data of the comparison individual from the demographic database, the second demographic data comprising data associated with the comparison individual in the first category of demographic attributes and associated with the comparison individual in the second category of demographic attributes; access a data structure storing information regarding most favorable levels of the first category of demographic attributes and the second category of demographic attributes, wherein for the first category of demographic attributes, the data structure indicates that higher numerical values of the first demographic attributes are more favorable and for the second category of demographic attributes, the data structure indicates that lower numerical values of the second demographic attributes are more favorable; compare first values of the first demographic attributes in the first category of demographic attributes associated with the user with second values of the first demographic attributes in the first category of demographic attributes associated with the comparison individual to determine which of either the user or the comparison individual has a most favorable level associated with the first category; compare third values of the second demographic attributes in the second category of demographic attributes associated with the user with fourth values of the second demographic attributes in the second category of demographic attributes associated with the comparison individual to determine which of either the user or the comparison individual has a most favorable level associated with the second category; serve an updated website or mobile application content including updated user interface content including: a first comparison result of the first category of demographic attributes wherein the first comparison result is generated based on comparisons between first demographic attributes of the user and the first demographic attributes of the comparison individual, a second comparison result of the second category of demographic attributes wherein the second comparison result is generated based on comparisons between second demographic attributes of the user and the second demographic attributes of the comparison individual, and a visual indication of which of the user or the comparison individual is associated with the most favorable level for the first category or the most favorable level for the second category; and communicate the updated website or mobile application content to the user computing device, wherein the updated website or mobile application content is renderable by the user computing device to display the updated user interface content.
 2. The server computing system of claim 1, wherein the computer processor is further configured to execute the software instructions to: receive a selection of the first category of demographic attributes or the second category of demographic attributes to include in a calculation of an overall rating of the user and a comparison overall rating of the comparison individual; adjust a model used to calculate the overall rating and the comparison overall rating to consider only the first category of demographic attributes or the second category of demographic attributes indicated in the selection; and calculate the overall rating and the comparison overall rating based on the adjusted model.
 3. The server computing system of claim 2, wherein the computer processor is further configured to execute the software instructions to: receive an input from the user computing device regarding values of particular demographic attributes that are most favorable to the user; and update the model to reflect the input from the user computing device.
 4. The server computing system of claim 2, wherein the updated user interface content further comprises a value of an attribute in the first category of demographic attributes or in the second category of demographic attributes.
 5. The server computing system of claim 1, wherein a most favorable level for a particular demographic attribute indicates a level that is socially sought after.
 6. The server computing system of claim 1, wherein the computer processor is further configured to execute the software instructions to: identify an attribute in the first category that is either missing or incorrect; and communicate an update instruction to the user computing device causing the user computing device to update the user interface content to include a data input field in place of the attribute.
 7. A method for providing user comparison information to a user, the method comprising: serving a website or mobile application content including user interface content renderable on a user computing device, wherein the user interface content comprising dynamic user interface controls for receiving identification information of the user, presenting identification information of a comparison entity, and presenting a first category of demographic attributes and a second category of demographic attributes, wherein the first category of demographic attributes comprises first demographic attributes and the second category of demographic attributes comprises second demographic attributes; communicating the website or mobile application content to the user computing device, wherein the user computing device renders the website or mobile application content to display the user interface content; receiving the identification information of the user, wherein the identification information is inputted via the dynamic user interface controls; receiving a request to compare the user with the comparison entity; accessing first demographic data of the user from a demographic database based on the identification information, the first demographic data comprising data associated the user's first category of demographic attributes and the user's second category of demographic attributes; accessing second demographic data of the comparison entity from the demographic database, the second demographic data comprising data associated the comparison entity's first category of demographic attributes and the comparison entity's second category of demographic attributes; access a data structure storing information regarding most favorable levels of the first category of demographic attributes and the second category of demographic attributes, wherein for the first category of demographic attributes, the data structure indicates that higher numerical values of the first demographic attributes are more favorable and for the second category of demographic attributes, the data structure indicates that lower numerical values of the second demographic attributes are more favorable; comparing a first value of the first demographic attributes in the first category of demographic attributes associated with the user with a first average value of the first demographic attribute in the first category of demographic attributes associated with the comparison entity to determine which of either the user or the comparison entity has a most favorable level associated with the first category; comparing a second value of the second demographic attributes in the second category of demographic attributes associated with the user with a second average value in the second demographic attributes in the second category of demographic attributes associated with the comparison entity to determine which of either the user or the comparison entity has a most favorable level associated with the second category; updating the website or mobile application content to include updated user interface content: a first comparison result of the first category of demographic attributes, a second comparison result of the second category of demographic attributes, and a visual indication of which of the user or the comparison entity is associated with the most favorable level for the first category or the most favorable level for the second category; and communicating the updated user interface content to the user computing device, wherein the updated website or mobile application content is renderable by the user computing device to display the updated user interface content.
 8. The method of claim 7, wherein the comparison entity comprises a plurality of comparison individuals.
 9. The method of claim 7, further comprising: receiving a selection of the first category of demographic attributes or the second category of demographic attributes to include in a calculation of an overall rating of the user and a comparison overall rating of the comparison entity, wherein the comparison overall rating comprises an average rating across the comparison entity; adjusting a model used to calculate the overall rating and the comparison overall rating to consider only the first category of demographic attributes or the second category of demographic attributes indicated in the selection; and calculating the overall rating and the comparison overall rating based on the adjusted model.
 10. The method of claim 9, further comprising: receiving an input from the user computing device regarding values of particular demographic attributes that are most favorable to the user; and updating the model reflect the input from the user computing device.
 11. The method of claim 9, wherein the user interface content further comprises a recommended action to increase the overall rating of the user.
 12. The method of claim 7, wherein a most favorable level for a particular demographic attribute indicates a level that is socially sought after.
 13. The method of claim 7, further comprising: identifying an attribute in the first category that is either missing or incorrect; and communicating an update instruction to the user computing device causing the user computing device to update the user interface content to include a data input field in place of the attribute.
 14. A computer-readable medium storing software instructions thereon, the software instructions causing a server computing system to: serve a website or mobile application content including user interface content renderable on a user computing device, wherein the user interface content comprising dynamic user interface controls for receiving identification information of the user, presenting identification information of a comparison entity, and presenting a first category of demographic attributes and a second category of demographic attributes, wherein the first category of demographic attributes comprises first demographic attributes and the second category of demographic attributes comprises second demographic attributes; communicate the website or mobile application content to the user computing device, wherein the user computing device renders the website or mobile application content to display the user interface content; receive the identification information of the user, wherein the identification information is inputted via the dynamic user interface controls on the user computing device; receive a request to compare the user with the comparison entity; access first demographic data of the user from a demographic database based on the identification information, the first demographic data comprising data associated the user's first category of demographic attributes and the user's second category of demographic attributes; accessing second demographic data of the comparison entity from the demographic database, the second demographic data comprising data associated the comparison entity's first category of demographic attributes and the comparison entity's second category of demographic attributes; access a data structure storing information regarding most favorable levels of the first category of demographic attributes and the second category of demographic attributes, wherein for the first category of demographic attributes, the data structure indicates that higher numerical values of the first demographic attributes are more favorable and for the second category of demographic attributes, the data structure indicates that lower numerical values of the second demographic attributes are more favorable; comparing a first value of the first demographic attributes in the first category of demographic attributes associated with the user with a first average value of the first demographic attribute in the first category of demographic attributes associated with the comparison entity to determine which of either the user or the comparison entity has a most favorable level associated with the first category; comparing a second value of the second demographic attributes in the second category of demographic attributes associated with the user with a second average value in the second demographic attributes in the second category of demographic attributes associated with the comparison entity to determine which of either the user or the comparison entity has a most favorable level associated with the second category; updating the website or mobile application content to include updated user interface content including: a first comparison result of the first category of demographic attributes, a second comparison result of the second category of demographic attributes, and a visual indication of which of the user or the comparison entity is associated with the most favorable level for the first category or the most favorable level for the second category; and communicating the updated user interface content to the user computing device, wherein the updated website or mobile application content is renderable by the user computing device to display the updated user interface content.
 15. The computer-readable medium of claim 14, wherein the comparison entity comprises a plurality of comparison individuals.
 16. The computer-readable medium storing software instructions of claim 14, wherein the software instructions further cause the server computing system to: receive a selection of the first category of demographic attributes or the second category of demographic attributes to include in a calculation of an overall rating of the user and a comparison overall rating of the comparison entity, wherein the comparison overall rating comprises an average rating across the comparison entity; adjust a model used to calculate the overall rating and the comparison overall rating to consider only the first category of demographic attributes or the second category of demographic attributes indicated in the selection; and calculate the overall rating and the comparison overall rating based on the adjusted model.
 17. The computer-readable medium storing software instructions of claim 16, wherein the software instructions further cause the server computing system to: receive an input from the user computing device regarding values of particular demographic attributes that are most favorable to the user; and update the model reflect the input from the user computing device.
 18. The computer-readable medium of claim 16, wherein the user interface content further comprises a recommended action to increase the overall rating of the user.
 19. The computer-readable medium of claim 14, wherein a most favorable level for a particular demographic attribute indicates a level that is socially sought after.
 20. The computer-readable medium storing software instructions of claim 14, wherein the software instructions further cause the server computing system to: identify an attribute in the first category that is either missing or incorrect; and communicate an update instruction to the user computing device causing the user computing device to update the user interface content to include a data input field in place of the attribute. 